SOTAVerified

Retrieval

A methodology that involves selecting relevant data or examples from a large dataset to support tasks like prediction, learning, or inference. It enhances models by providing context or additional information, often used in systems like retrieval-augmented generation or in-context learning.

Papers

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Showing 4951–4975 of 14297 papers

TitleStatusHype
GSSF: Generalized Structural Sparse Function for Deep Cross-modal Metric LearningCode0
Efficiency-Effectiveness Tradeoff of Probabilistic Structured Queries for Cross-Language Information RetrievalCode0
Generative Relevance Feedback and Convergence of Adaptive Re-Ranking: University of Glasgow Terrier Team at TREC DL 2023Code0
Dual-Encoders for Extreme Multi-Label ClassificationCode0
Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA SystemCode0
Generative Domain-Migration Hashing for Sketch-to-Image RetrievalCode0
Generative Patch Priors for Practical Compressive Image RecoveryCode0
Exploring modality-agnostic representations for music classificationCode0
Generative AI Enhanced Financial Risk Management Information RetrievalCode0
Generative Adversarial User Privacy in Lossy Single-Server Information RetrievalCode0
Fine-Grained Stateful Knowledge Exploration: A Novel Paradigm for Integrating Knowledge Graphs with Large Language ModelsCode0
Retrieval-Pretrained Transformer: Long-range Language Modeling with Self-retrievalCode0
Generative Principal Component AnalysisCode0
Generating Sentential Arguments from Diverse Perspectives on Controversial TopicCode0
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List StabilityCode0
Generating Biomedical Question Answering Corpora from Q&A forumsCode0
Generating Signed Language Instructions in Large-Scale Dialogue SystemsCode0
AODisaggregation: toward global aerosol vertical profilesCode0
Effectively Leveraging Attributes for Visual SimilarityCode0
Generating Natural Questions About an ImageCode0
LowCLIP: Adapting the CLIP Model Architecture for Low-Resource Languages in Multimodal Image Retrieval TaskCode0
Generating Diverse and Meaningful CaptionsCode0
Generating Images from Captions with AttentionCode0
Effective Distributed Representations for Academic Expert SearchCode0
Effective Controllable Bias Mitigation for Classification and Retrieval using Gate AdaptersCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53—Unverified
2ElasticsearchQueries per second21.8—Unverified
3BM25-PTQueries per second6.49—Unverified
4Rank-BM25Queries per second1.18—Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88—Unverified
2ElasticsearchQueries per second7.11—Unverified
3Rank-BM25Queries per second0.04—Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85—Unverified
2ElasticsearchQueries per second12.16—Unverified
3Rank-BM25Queries per second0.1—Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32—Unverified
2RA-VQARecall@582.84—Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30—Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59—Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1—Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1—Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55—Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222—Unverified